{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:03:33Z","timestamp":1775228613713,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772556"],"award-info":[{"award-number":["61772556"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2018YFB1107100,2016YFC11006 00"],"award-info":[{"award-number":["2018YFB1107100,2016YFC11006 00"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534147","type":"proceedings-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T20:32:37Z","timestamp":1632342757000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Explainable Predictions of Renal Cell Carcinoma with Interpretable Tree Ensembles from Contrast-enhanced CT Images"],"prefix":"10.1109","author":[{"given":"Fuchang","family":"Han","sequence":"first","affiliation":[]},{"given":"Shenghui","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Renzhong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Shu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yuqian","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Xie","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","first-page":"1","article-title":"A novel explainable machine learning approach for EEG-based brain-computer interface systems","author":"ieracitano","year":"2021","journal-title":"Neural Computing and Applications"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1515\/9781400881970-018"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207637"},{"key":"ref13","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0272989X18819479"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1016\/j.eururo.2018.08.038","article-title":"Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators","volume":"74","author":"van ben","year":"2018","journal-title":"European Urology"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1177\/0272989X17704855"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2015.12.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/0272989X14547233"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/09720502.2016.1259769"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-017-5118-z"},{"key":"ref27","first-page":"11","article-title":"Decision curve analysis: a technical note","volume":"6","author":"zhongheng","year":"2018","journal-title":"Annals of translational medicine 3"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s10278-018-0100-0","article-title":"A Decision-support Tool for Renal Mass Classification","volume":"31","author":"gautam","year":"2018","journal-title":"Journal of Digital Imaging"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00230-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-017-1144-1"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","article-title":"Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI","volume":"58","author":"alejandro","year":"2020","journal-title":"Information Fusion"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.1007\/s00261-019-01929-0","article-title":"Deep learning and radiomics: the utility of Google Tensor-Flow Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT","volume":"44","author":"heidi","year":"2019","journal-title":"Abdominal Radiology"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.eururo.2009.10.023","article-title":"A Critical Analysis of the Actual Role of Minimally Invasive Surgery and Active Surveillance for Kidney Cancer","volume":"57","author":"roman","year":"2010","journal-title":"European Urology"},{"key":"ref9","author":"du","year":"2018","journal-title":"Techniques for interpretable machine learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2196\/10677"},{"key":"ref20","first-page":"358","author":"li","year":"1984","journal-title":"Classification and Regression Trees (CART)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0138-9"},{"key":"ref25","article-title":"CatBoost: unbiased boosting with categorical features","author":"prokhorenkova","year":"2018","journal-title":"Proceedings of the 32Nd International Conference on Neural Information Processing Systems"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,18]]},"end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534147.pdf?arnumber=9534147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:14Z","timestamp":1652197574000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534147\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534147","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}